Alternatives and similar repositories for chainer-differentiable-mpc

Users that are interested in chainer-differentiable-mpc are comparing it to the libraries listed below

• cvxgrp / cocp
  Source code for the examples accompanying the paper "Learning convex optimization control policies."
  ☆85Updated 2 years ago
• locuslab / robust-nn-control
  Enforcing robust control guarantees within neural network policies
  ☆55Updated 4 years ago
• peisuke / vin
  ☆13Updated 8 years ago
• locuslab / stable_dynamics
  Companion code to "Learning Stable Deep Dynamics Models" (Manek and Kolter, 2019)
  ☆33Updated 5 years ago
• cvxgrp / cone_prog_refine
  Cone program refinement
  ☆10Updated 5 years ago
• befelix / lyapunov-learning
  Safe learning of regions of attraction in uncertain, nonlinear systems with Gaussian processes
  ☆39Updated 5 years ago
• StanfordASL / CoCo
  ☆37Updated 2 years ago
• modestyachts / robust-adaptive-lqr
  Implementation of robust adaptive control methods for the linear quadratic regulator
  ☆38Updated 3 years ago
• befelix / safe-exploration
  Safe Exploration with MPC and Gaussian process models
  ☆88Updated 5 years ago
• jameshensman / pythonGPLVM
  Implementation of the GPLVM algorithm in python
  ☆44Updated 15 years ago
• cvxgrp / qcqp
  A CVXPY extension for handling nonconvex QCQP via Suggest-and-Improve framework
  ☆117Updated 5 years ago
• befelix / Safe-RL-Benchmark
  A library to benchmark reinforcement learning algorithms
  ☆21Updated 7 years ago
• HJReachability / beacls
  ☆41Updated 5 months ago
• irom-princeton / PAC-Bayes-Control
  Code for the PAC-Bayes Control paper.
  ☆13Updated 2 years ago
• minatosato / deep-learning-theano
  Theano
  ☆11Updated 8 years ago
• MinRegret / TigerControl
  Google AI Princeton control framework
  ☆38Updated 5 years ago
• paulxshen / neural-ode-cartpole
  ☆24Updated 5 years ago
• eadali / deeplearning-system-identification
  System Identification with LSTM networks
  ☆14Updated 2 years ago
• vmartinezalvarez / DyNODE
  DyNODE: Neural Ordinary Differential Equations for Dynamics Modeling in Continuous Control
  ☆23Updated 5 years ago
• JoeMWatson / input-inference-for-control
  Input Inference for Control (i2c), a control-as-inference framework for optimal control
  ☆25Updated 2 years ago
• spenrich / Learning-Control-Oriented-Structure
  Code for "Learning Control-Oriented Dynamical Structure from Data" by Spencer M. Richards, Jean-Jacques Slotine, Navid Azizan, and Marco …
  ☆16Updated 2 years ago
• StanfordASL / SNDL
  Stabilizable Nonlinear Dynamics Learning
  ☆22Updated 6 years ago
• keio-ytlab / study_group_of_model-based_rl
  Study Group of Model-based RL, 高橋研究室のモデルベース強化学習勉強会のスライドのまとめです
  ☆25Updated 6 years ago
• JuliaPOMDP / POMCPOW.jl
  Online solver based on Monte Carlo tree search for POMDPs with continuous state, action, and observation spaces.
  ☆56Updated 3 months ago
• pnnl / deps_arXiv2020
  Differentiable predictive control (DPC) policy optimization examples.
  ☆58Updated 2 years ago
• chainer / chainerrl-visualizer
  ☆54Updated 2 years ago
• hanyas / trajopt
  A toolbox for trajectory optimization of dynamical systems
  ☆54Updated 3 years ago
• sabean / Koopman
  Learning dynamical systems from data: Koopman
  ☆16Updated 5 years ago
• antonior92 / ip-nonlinear-solver
  A trust-region interior-point method for general nonlinear programing problems (GSoC 2017).
  ☆37Updated 7 years ago
• zuoxingdong / DeepPILCO
  ☆54Updated 7 years ago